Randomized block-Krylov subspace methods for low-rank approximation of matrix functions.

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Title: Randomized block-Krylov subspace methods for low-rank approximation of matrix functions.
Authors: Persson, David1, dpersson@flatironinstitute.orgdup210@nyu.edu, Chen, Tyler2, tyler.chen@nyu.edu, Musco, Christopher2, cmusco@nyu.edu
Source: Linear Algebra & its Applications; Jul2026, Vol. 741, p32-65, 34p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193119970
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193119970
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.laa.2026.03.029
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 34
        StartPage: 32
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      – TitleFull: Randomized block-Krylov subspace methods for low-rank approximation of matrix functions.
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            NameFull: Persson, David
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            NameFull: Chen, Tyler
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            NameFull: Musco, Christopher
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            – D: 15
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              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 741
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            – TitleFull: Linear Algebra & its Applications
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